Tanawat Ruktanyakarn

Dynamic Training Engineer with a proven track record at Associate Professor Dr. Suppachai Howimanporn, specializing in production control and SCADA programming. Leveraging strong computer skills and effective communication, I excel in sensor technology and industrial automation, fostering collaboration and driving successful training outcomes. Passionate about integrating IoT systems and machine learning into practical applications.

[Area of certification] Training - [Production control and display programming (SCADA)]

Main Project

          Developed a solar-powered battery charging system for thermoelectric cooling using solar cells. Implemented a charge controller on Arduino utilizing PID, Fuzzy Logic, and Neuro-Fuzzy control algorithms. Integrated real-time monitoring and visualization through Node-RED, with data logging for performance analysis.

Mini Projects

• Created a GUI-based driving license queue booking application in Python with database support.
• Created an IoT-based automatic watering system controlled via the Blynk mobile application.
• Implemented DC motor position control using a PID algorithm with a PLC as the controller.
• Designed and created a Fuzzy-PID gas control system with real-time monitoring via SCADA and web visualization using Node-RED.
• Implemented a PID control system in MATLAB for gas concentration monitoring using ESP32 and the MQ-2 sensor
• Designed and Built a PCB for an analog PID controller using 741 op-amp, with circuit design in Proteus and system simulation in MATLAB.
• Implemented fuzzy logic control for platform barrier door timings using Arduino UNO.
• Designed a motorized scissor lift in SolidWorks and built the system with fuzzy logic control implemented on Arduino.
• Designed and built an emotion-expressing plant pot using SolidWorks, as part of the Product Design Innovation course project.
• Developed an image processing system for detecting leaks in paper cups using camera-based inspection.